17+ years architecting enterprise data ecosystems, governance frameworks, and AI-ready cloud platforms that drive measurable operational efficiency, regulatory compliance, and executive decision-making.
I'm Rakesh Gundala — a Strategic Enterprise Data & Governance Leader based in Houston, TX. With 17+ years at the intersection of business strategy and data engineering, I've built my career transforming chaotic, siloed data landscapes into governed, AI-ready platforms that executives can trust and act upon.
My expertise spans Master Data Management, Cloud Data Architecture, Data Governance Operating Models, and enterprise analytics — delivered for clients across Energy, Healthcare, Financial Services, Insurance, and Retail. I've led engagements for global Fortune 500 organizations, building $8M+ qualified pipelines and directing cross-functional teams across onshore/offshore delivery models.
I hold an MS in Management Information Systems from Fairleigh Dickinson University (2007) and carry a rare combination of deep technical architecture expertise and C-suite communication fluency that consistently converts data strategy into tangible business outcomes.
"Data is only as powerful as the trust placed in it. My mission is to build systems, frameworks, and cultures where that trust is absolute."
— Rakesh Gundala, Director of Enterprise Data & Analytics StrategyDesigning scalable, cloud-native data platforms on Snowflake, Azure, AWS, and GCP — from conceptual architecture through production hardening and operational monitoring.
Building hybrid governance operating models with stewardship councils, CDE controls, data lineage, business glossaries, and regulatory alignment (SOX, CCAR, Sunshine Act).
Delivering enterprise MDM across Customer, Asset, Vendor, Provider, and Product domains using Informatica IDMC — with trusted golden records, survivorship rules, and match-merge logic.
Translating C-suite vision into KPI-driven delivery roadmaps. Every sprint milestone and platform release is tied directly to measurable business outcomes — never just technical checkboxes.
From strategy through production — I deliver data solutions that executives trust, engineers can maintain, and regulators can audit.
Building hybrid governance operating models — centralized and federated — that embed data ownership, stewardship accountability, lineage visibility, and policy enforcement across every domain.
Architecting enterprise MDM platforms across Customer, Asset, Vendor, Provider, and Product domains. Golden records, survivorship rules, match-merge logic, and hierarchy governance at scale.
Modernizing legacy data estates to cloud-native ecosystems on Snowflake, Azure, AWS, and GCP. Real-time pipelines, curated reporting layers, and governed semantic models built for durability.
Building standardized transformation frameworks, governed metrics, and reusable data products that power executive reporting, operational dashboards, and AI-driven insights across the enterprise.
Designing scalable ETL/ELT pipelines and API-driven integration architectures connecting Salesforce, SAP, Oracle, and cloud ecosystems with standardized transformation and operational monitoring.
Serving as a trusted C-suite data advisor — translating business objectives into delivery roadmaps, conducting QBRs, leading pre-sales, and driving multi-million dollar transformation engagements.
Real enterprise outcomes — built from 17 years of delivery across the most data-intensive industries in the world.
A major utility operator was struggling with fragmented asset records spread across 12 legacy systems — resulting in unreliable grid maintenance schedules, $4M+ in annual duplicate procurement, and failed regulatory audits. Rakesh designed and implemented an enterprise Asset MDM platform using Informatica IDMC, establishing a single trusted asset master with 100% lineage visibility and integrated IoT sensor data via Snowflake.
A national healthcare network with 800+ physician relationships faced mounting Sunshine Act compliance risk due to fragmented HCP/HCO data across Salesforce, Epic, and 3 legacy CRMs. Rakesh architected a provider MDM platform with NPI validation workflows, third-party enrichment via IQVIA and LexisNexis, and automated compliance reporting — eliminating $2.1M in potential regulatory exposure within 90 days of go-live.
A Tier-1 auto finance institution faced two consecutive CCAR submission failures due to data quality gaps across Risk and Finance reporting layers. As Enterprise Data Governance Lead at Santander Consumer USA, Rakesh designed a comprehensive IDQ rule framework validating completeness, accuracy, timeliness, and consistency across FR Y-14 data flows — establishing end-to-end lineage from source systems through regulatory aggregation layers.
Sunnova Energy's explosive customer growth had outpaced its data infrastructure — Salesforce, PostgreSQL, AWS Lambda, and Redshift were operating in fragmented silos with no unified reporting layer. As Manager of Data Services, Rakesh architected a unified data integration platform and Tableau reporting ecosystem that delivered 50% faster reporting, a 30% increase in sales team efficiency, and a single trusted customer view across all operational systems.
Industry-recognized credentials that validate deep technical and strategic expertise across the most critical data platforms in the enterprise.
Informatica IDMC, CDI, CAI, MDM
ACTIVEAzure Data Services & Architecture
ACTIVESnowflake Data Cloud Architecture
ACTIVEAmerican Management Association · 2018–Present
ACTIVEFairleigh Dickinson University · 2007
DEGREEIDQ 9.6 · Advanced Certification
ACTIVETableau Online & Desktop Analytics
ACTIVESprint Delivery & SDLC Governance
ACTIVEMost governance initiatives die in the committee room. After designing governance frameworks for Fortune 500 clients across five industries, here's what actually separates programs that stick from those that don't.
Read Article →Cloud data platform migrations fail at an alarming rate — not because of technology, but because of data governance gaps and unresolved master data quality issues that follow organizations into the cloud.
Read Article →Every major AI initiative I've seen fail traces back to the same root cause: untrusted, ungoverned master data. Here's how to build the data foundation your AI investments actually require.
Read Article →From strategic advisory to full-scale enterprise delivery — structured to match your organization's needs and investment horizon.
Whether you're facing a data governance crisis, planning a cloud migration, or looking to turn raw data assets into strategic competitive advantage — let's talk. Every transformation begins with a single conversation.